I am currently a PhD candidate supervised by Prof.Zelin Shi at the Key Laboratory of Opto-Electronic Information Processing, CAS. 

       My research interests reside on the intersection of computer vision, Riemannian manifold and deep learning. I am mainly working on image processing based on Riemannian manifolds, optimization strategies on Riemannian manifold within the context of deep learning for images and videos.

2015-07--present          Shenyang Institute of Automation, Chinese Academy of Sciences      PhD  Candidate
2014-09--2015-06         University of Science and Technology of China (USTC)                    PhD  Freshman

[1] Tianci Liu, Zelin Shi, Yunpeng Liu. Joint Normalization and Dimensionalit Reduction on Grassmannian: A Generalized Perspective [J]// IEEE Signal Processin Letters,2018, 25(6):858-862.

[2] Tianci Liu, Zelin Shi, Yunpeng Liu. Kernel Sparse Representation on Grassmann Manifolds for Visual Clustering [J]// Optical Engineering, 2018, 57(5):1-10.

[3] Tianci Liu, Zelin Shi, Yunpeng Liu. Supervised Dimensionality Reductio on Grassmannian for Image-set Recognition [J]// Neural Computation, 2019, 31(1): 156-175.

[4] Tianci Liu, Zelin Shi, Yunpeng Liu. Visualization of the image geometric transformation under the illumination variation based on the product manifold [J]// Basic & Clinical Pharmacology & Toxicology, 2018, 124: 52-53.

[5] Chenxi Li, Zelin Shi, Yunpeng Liu, Tianci Liu. Efficient and robust direct image registration based on joint geometric and photometric Lie algebra [J]// IEEE Transactions on Image Processing, 2018, 27(12):6010-6024

[6] Tianci Liu, Zelin Shi, Yunpeng Liu. Geometry deep network image-set recognition method based on grassmann manifolds[J]// Infrared and Laser Engineering, 2018,47(7): 1-7

[7] Tianci Liu, Zelin Shi, Yunpeng Liu, Chenxi Li. Visualization of the Geometric Transformation Group Based on the Riemannian Metric [C]// Systems and Informatics (ICSAI), 2016 3rd International Conference on. IEEE, 2016: 930-935.

[8] Tianci Liu, Zelin Shi, Yunpeng Liu. Visual Clustering based on Kernel Sparse Representation on Grassmann Manifolds [C]// 2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2017: 920-925.

[9] Tianci Liu, Zelin Shi, Yunpeng Liu. Dimensionality Reduction on Grassmannian: A Good Practice [C]// 2017 International Conference on Intelligent Computing and Information Systems, 2017: 87-92.

[10] Chenxi Li, Zelin Shi, Yunpeng Liu, Tianci Liu. Joint geometric and photometric visual tracking based on Lie group [C]// International Conference on Geometric Science of Information. Springer, Cham, 2017: 291-298.

National Scholarship for PhD Candidates Funded by Ministry of Education of China, 2018

The excellent student of University of Chinese Academy of Sciences, 2018

The excellent student of University of Chinese Academy of Sciences, 2018

The excellent student of University of Chinese Academy of Sciences, 2017

The excellent member of Shenyang Institute of Automation, Chinese Academy of Sciences 2017